The second book is available in the library and in my own room (BBG-521).

Course form:

Lectures + Student Presentations

Exam form:

Written Exams + Presentations

Minimum effort to qualify for 2nd chance exam:

To qualify for the retake exam, the grade of the original must be at least 4.

Description:

Multi-agent systems are nowadays an important and innovative research area in artificial intelligence and computer science. They are viewed as a computational paradigm to specify, design, and implement software systems for solving complex tasks in terms of interacting computational entities. These computational entities, called agents, are usually assumed to be heterogeneous, autonomous, self-interested, and situated in an environment. They can communicate and coordinate their activities to achieve their objectives. The environments in which individual agents are situated can be ordinary software environments (e.g., internet), physical environments (e.g., robot), or normative mechanisms (e.g., virtual organisation). Multi-agent system paradigm can be used to develop open and distributed applications such as multi-robot systems, on-line auctions, virtual organizations, electronic institutions, market places, and virtual games. Some of multiagent issues are: how agents communicate and interact with each other, how they coordinate their activities, how their activities can be organised, and what are characteristics of multiagent applications.